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data constraint
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  数据约束
    1. According to the different ways in which the prior-knowledge is encoded into the network, the prior-knowledge based methods can be divided into three classes: namely Architecture Constraint (AC) method, Weight Constraint (WC) method and Data Constraint (DC) method.
    1) 根据先验知识和神经元网络结合方式的不同,将建模方法分为结构约束法,权值约束法和数据约束法。
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  “data constraint”译为未确定词的双语例句
    3. Realize the converting between relational database and XML document. A new method of translating relational database into XML documents with data constraint preservation was put forward.
    3.实现关系数据库到XML的转换,提出一种在保持数据约束的前提下实现关系数据库到XML文档的转换的方法,最终达到以XML构造事实库的目的。
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  data constraint
Our SSD-based regularization method uses a normalized SSD measure (based on a similar reasoning as in the gradient-based scheme) as the data constraint in a regularization framework.
      
Each data constraint is appropriately normalized to obtain an approximate minimum distance (of the data point to the linear flow equation) constraint instead of the conventional linear flow constraint.
      
Solving the 4-d Einstein equations as evolution in time requires solving equations of two types: the four elliptic initial data (constraint) equations, followed by the six second-order evolution equations.
      
In the paper we present a new method to invert the interior structure in the basement or ancient hidden hill by using magnetotelluric (MT) data with seismic data constraint.
      
Magnetotelluric data inversion with seismic data constraint
      
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In power system,bad data can reduce convergence efficiency of state estimation,even result in state estimation failure.So how to detect and modify bad dada exactly is one of the most demanding problems in application of state estimation.For practical application of state estimation,this paper presents a new method that proposed a bound coefficient H to identify data.Then a solution for bad data processing is developed based on data constraint relationship and H value.In the proposed method,balance between...

In power system,bad data can reduce convergence efficiency of state estimation,even result in state estimation failure.So how to detect and modify bad dada exactly is one of the most demanding problems in application of state estimation.For practical application of state estimation,this paper presents a new method that proposed a bound coefficient H to identify data.Then a solution for bad data processing is developed based on data constraint relationship and H value.In the proposed method,balance between input and output is firstly calculated to modify doubtful data.Then remote-analogue data is detected and modified node by node and class by class based on(Kirchhoff's) law.Finally revised data is obtained by state estimation.Also calculation examples showed this method can(identify) and effectively modify bad data,and the convergence of state estimation is improved with its advantages as simple,practical and fast.

电力系统中不良数据的存在会降低状态估计的收敛性能,甚至造成状态估计失败。如何可靠检测和修正不良数据成为状态估计应用的难题。针对这个问题,文章从状态估计实用化角度出发,首先提出越限系数H的概念来表征量测量的越限程度,然后利用电力系统量测量之间的约束关系和H值,提出一种基于网络节点分级的不良数据处理方法。该方法首先通过计算输入输出差额检测系统总的功率是否平衡,修正部分可疑量测量;接着对系统节点进行分级,根据节点分级结果运用基尔霍夫电流定律逐级逐点检测并修正可疑数据,最后通过状态估计得到最终结果。工程算例表明该算法简单、实用、速度快,能够过滤、智能修复和补充实时数据,有效地辨识和修正不良数据,提高了状态估计的收敛性能。

 
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